Speech Recognition Accuracy with Natural-Language Understanding based Meta-Speech Systems for Assistant Systems

2. The method of claim 1, wherein each ASR engine is associated with one or more agents of a plurality of agents specific to the respective ASR engine.

3. The method of claim 1, wherein each domain of the plurality of domains comprises one or more agents specific to the respective domain.

4. The method of claim 3, wherein the agents comprise one or more of a first-party agent or a third-party agent.

5. The method of claim 1, wherein each domain of the plurality of domains comprises a set of tasks specific to the respective domain.

6. The method of claim 1, wherein the plurality of domains are associated with a plurality of agents, and wherein each agent is operable to execute one or more tasks specific to one or more of the domains.

8. The method of claim 7, wherein the one or more combination of intents and slots are selected when the domain of the respective combination of intents and slots matches the domain of one of the plurality of ASR engines.

14. The method of claim 1, wherein one of the plurality of ASR engines is a combined ASR engine based on two or more discrete ASR engines, and wherein each of the two or more discrete ASR engines is associated with a separate domain of the plurality of domains.

15. The method of claim 1, wherein the response comprises one or more of an action to be performed or one or more results generated from a query.

16. The method of claim 1, wherein the instructions for presenting the response comprises a notification of the action to be performed or a list of one or more results.